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Saida Ulfa; Ence Surahman; Izzul Fatawi; Hirashima Tsukasa – Electronic Journal of e-Learning, 2024
The purpose of this study was to evaluate the factors that influence behavioural intention (BI) to use the Online Summary-with Automated Feedback (OSAF) in a MOOCs platform. Task-Technology Fit (TTF) was the main framework used to analyse the match between task requirements and technology characteristics, predictng the utilisation of the…
Descriptors: MOOCs, Intention, Automation, Feedback (Response)
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Kraisila Kanont; Pawarit Pingmuang; Thewawuth Simasathien; Suchaya Wisnuwong; Benz Wiwatsiripong; Kanitta Poonpirome; Noawanit Songkram; Jintavee Khlaisang – Electronic Journal of e-Learning, 2024
This study investigates the factors influencing the adoption of Generative-AI tools amongst Thai university students, employing the Technology Acceptance Model (TAM) as a theoretical framework. Data from 911 higher education students from 10 different Thai Universities Health Sciences, Sciences and Technology, Social Sciences and Humanities, and…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Educational Technology
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Kenedi Binowo; Aynun Nissa Setiawan; Rifanti Putri Tallisha; Shafira Azzahra; Yolanda Emanuella Sutanto; Achmad Nizar Hidayanto; Bahbibi Rahmatullah – Electronic Journal of e-Learning, 2024
Social distancing policies during the COVID-19 period have opened a space for interventions in the use of digital technology that was previously rejected by the public. Currently, most of the community activities have been carried out online, including those related to education, such as hosting virtual exhibitions with an educational purpose.…
Descriptors: COVID-19, Pandemics, Distance Education, Intervention
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Faozi, Ferdinand Hanif; Handayani, Putu Wuri – Electronic Journal of e-Learning, 2023
The purpose of the research is to analyze the factors that influence the continuance intention to use Mobile-Assisted Language Learning (MALL) applications in the context of language courses in Indonesia. The study aims to understand the key factors that contribute to users' intention to continue using MALL applications, particularly in the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, Intention
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Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Tri Lathif Mardi Suryanto; Aji Prasetya Wibawa; Hariyono; Andrew Nafalski; Hechmi Shili – Electronic Journal of e-Learning, 2025
This study delves into the adoption of chatbot technology in higher education, with a focus on Indonesian online learning environments. Recognizing the potential of AI-driven tools to address academic support gaps, particularly in developing regions, the research explores how performance expectancy, effort expectancy, and facilitating conditions…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Higher Education
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Amal Alrayes; Tara Fryad Henari; Dalal Abdulkarim Ahmed – Electronic Journal of e-Learning, 2024
This paper provides a thorough examination of the role of Artificial Intelligence (AI), particularly ChatGPT and other AI language models, in the realm of education. Drawing insights from existing literature and a novel study on educator perspectives, the paper delves into the potential advantages, ethical dilemmas, and factors shaping educators'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Intention
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Smolinski, Pawel Robert; Szostakowski, Marcin; Winiarski, Jacek – Electronic Journal of e-Learning, 2023
The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these…
Descriptors: Electronic Learning, Computer Software, Use Studies, Teacher Behavior
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Fauzi, Ahmad; Wandira, Raju; Sepri, Domi; Hafid, Afdhil – Electronic Journal of e-Learning, 2021
The learning process in West Sumatera, Indonesia, changed into an online-based system due to the COVID-19 pandemic, which involved educators and students using many platforms of e-learning for teaching and learning. Therefore, the purpose of this research is to evaluate the use of e-learning platforms among students at universities in West…
Descriptors: Foreign Countries, COVID-19, Pandemics, Educational Technology
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Charbonneau-Gowdy, Paula; Chavez, Jessica – Electronic Journal of e-Learning, 2019
A growing trend in higher education institutions (HE) to move course offerings to Blended Learning (BL) modes is challenging many of our traditional views and practices of teaching and learning. Part of the problem is that many of those working within these institutions at the "macro," "meso" and "micro" levels have…
Descriptors: Foreign Countries, Undergraduate Students, Learner Engagement, Blended Learning
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Olugbara, Cecilia Temilola; Letseka, Moeketsi – Electronic Journal of e-Learning, 2020
This study investigated the possible factors that predict e-learning integration into the teaching and learning of science subjects among preservice science teachers. A unified e-learning integration model was developed in which factors such as attitude, intention, skill and flow experience served as precursors of e-learning integration. This was…
Descriptors: Electronic Learning, Technology Integration, Predictor Variables, Preservice Teachers
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Costley, Jamie; Lange, Christopher – Electronic Journal of e-Learning, 2017
Instructional design is an important aspect of the learning experience within formal online courses. One way in which online instructional design may benefit students is by increasing their future behavioral intention to use educational materials. This is important because research has revealed that students' use of educational resources is…
Descriptors: Educational Technology, Electronic Learning, Difficulty Level, Cognitive Processes
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Tarhini, Ali; Scott, Michael James; Sharma, Sujeet Kumar; Abbasi, Muhammad Sharif – Electronic Journal of e-Learning, 2015
Really Simple Syndication (RSS) offers a means for university students to receive timely updates from virtual learning environments. However, despite its utility, only 21% of home students surveyed at a university in Lebanon claim to have ever used the technology. To investigate whether national culture could be an influence on intention to use…
Descriptors: Cross Cultural Studies, Cultural Differences, Technology Uses in Education, Technology Integration
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Tarhini, Ali; Hassouna, Mohammad; Abbasi, Muhammad Sharif; Orozco, Jorge – Electronic Journal of e-Learning, 2015
Simpler is better. There are a lot of "needs" in e-Learning, and there's often a limit to the time, talent, and money that can be thrown at them individually. Contemporary pedagogy in technology and engineering disciplines, within the higher education context, champion instructional designs that emphasize peer instruction and rich…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Technology Integration
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Chan, Kevin; Cheung, George; Wan, Kelvin; Brown, Ian; Luk, Green – Electronic Journal of e-Learning, 2015
In understanding how active and blended learning approaches with learning technologies engagement in undergraduate education, current research models tend to undermine the effect of learners' variations, particularly regarding their styles and approaches to learning, on intention and use of learning technologies. This study contributes to further…
Descriptors: Active Learning, Technology Integration, Higher Education, Undergraduate Students